This record as markdown: /tools/dev-avakit-avalanche/devnet-start.md
What devnet_start does on Avalanche
AI agents invoke devnet_start to trigger actions in Avalanche. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why devnet_start is rated High
Initiates a network service whose side effects depend on system state and configuration.
From the tool's definition Start the local Avalanche network. Triggers external operation.
Attacks that exploit this kind of access
The rule that runs devnet_start safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Avalanche, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For devnet_start, this is the rule to start with:
devnet_start stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Avalanche, apply this rule, and every devnet_start call is checked against it from then on.
Questions about devnet_start
Start the local Avalanche network. It is categorised as a Execute tool in the Avalanche MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Avalanche MCP server in PolicyLayer and add a rule for devnet_start: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Avalanche. Nothing to install.
devnet_start is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the devnet_start rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for devnet_start. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
devnet_start is provided by the Avalanche MCP server (@avakit/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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